Data Engineer

Avalanche; Paris; À distance; EUR 45 000 - 80 000; Plein temps

Résumé du poste

Avalanche recherche un Data Engineer pour optimiser ses systèmes de données au sein d'une équipe pragmatique et collaborative. Vous serez responsable de la construction de pipelines de données performants et de la résolution de défis à grande échelle dans un environnement de travail à distance. Une expertise en SQL et Python ainsi qu'une passion pour les technologies blockchain sont essentielles. Ce poste offre un cheminement de carrière dans l'un des secteurs les plus dynamiques.

Prestations

Package de compensation compétitif

Travail à distance

Environnement sans réunions inutiles

Qualifications

• Expérience dans la construction et l'optimisation de systèmes de données en production.
• Solides compétences en SQL et Python, avec expérience sur dbt et ClickHouse.
• Capacités excellentes en communication écrite et verbale.

Responsabilités

• Collaborer avec des chercheurs en crypto et d'autres ingénieurs pour façonner la modélisation des données.
• Concevoir et construire des pipelines de données performants.
• Utiliser des outils AI pour améliorer le développement et automatiser les tâches répétitives.

Connaissances

SQL

Python

dbt

ClickHouse

BigQuery

streaming data architectures

AI-powered tools

Description du poste

Nansen is a leading blockchain analytics platform that empowers investors and professionals with real-time, actionable insights derived from on-chain data.

The Opportunity:

As we scale our data infrastructure to meet the growing complexity and volume of the crypto ecosystem, we’re hiring a Data Engineer to build and optimise systems that power our customer-facing analytics product.

You'll work with a collaborative, pragmatic team of product and data engineers engineers to solve hard technical problems with real-world impact — powering tools used daily by thousands of crypto investors, builders, and institutions.

What You'll Do:

• Collaborate closely with crypto researchers, other engineers, and product managers to shape how data is modeled, surfaced, and productized.
• Tackle large-scale data challenges, processing terabytes of streaming and batch data daily.
• Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse and dbt.
• Ensure high standards for data quality, reliability, and observability across all systems.
• Bring fresh thinking to the table, staying current with best practices and evolving your toolkit over time.
• Use AI tools and Agents such as Cursor, MCPs and LLMs to accelerate development, automate repetitive work, and boost quality.

What We're Looking For:

• A proven track record of building and scaling high-performance data systems in production.
• Expertise in SQL and Python, with hands-on experience using dbt, ClickHouse, and BigQuery.
• Strong grasp of streaming data architectures and experience handling large-scale data volumes.
• Comfortable working full-stack with data, from ingestion and transformation to storage, modeling, and serving.
• Experience using AI-powered tools in day-to-day development and a natural curiosity to push boundaries with them.
• Excellent written and verbal communication skills. You’re confident working in a remote-first, async team.
• A pragmatic, execution-oriented mindset. You value fast feedback loops, clean architecture, and scalable design.
• Experience with, or strong interest in, blockchain data structures, crypto, and Web3 technologies.

Why Join Nansen

• Remote-first & async-native: Work from anywhere. No unnecessary meetings.
• AI-native team: Work in a team of AI trailblazers.
• High-impact work: You’ll shape the data architecture of a fast-growing crypto platform.
• Work on massive-scale data challenges in one of the fastest-growing industries.
• Influence product and technical direction from day one.
• Build systems that power the decision-making of crypto investors around the world.
• Join a team that values autonomy, impact, and execution above all.
• We offer a competitive compensation and benefits package, tailored to a remote-first environment.